Publication Date: 2022/12/20
Abstract: Housing is one of the essential human needs of life. House is needed by man to protect him against elements of weather. The provision of good housing therefore, has a profound effect and influence on the wellbeing, health and efficiency of any community. The study assesses the geo-spatial analysis of demographic determinants of rentals housing quality in traditional Nigerian settings with a view to determining the pattern of housing quality and its distribution in the area. Housing quality in the context of type, facilities and amenities available were examined; also the quality of residential environment was examined, especially to determine if the two meet the desire and satisfaction of the respondent’s tenants. Majority of the respondents are not satisfied with their present houses and residential environment, perception of neighbourhoods is largely determined by safety, availability of facilities, quality of residential environment, residential preference is solely determined by socio-economic variables. Lastly, the study identified the relevance of income level in determining the quality of a house and mostly earn below minimum wage per month, most of the people living in the study area are low and medium income earners. Those residents were distributed based on their income levels and is closely link with their occupational status, and that the study has both theoretical and practical implications. The theoretical implication rests on the need for the development of sense of place of study while the practical implication exposes the need for preference studies before planning housing and residential areas. Finally, there is the need for involvement of housing and environment consumers in issues relating to housing policy and environmental planning so as to achieve optimality in planning.
Keywords: Geo-Spatial Analysis, Housing Quality, Demographic, Neighbourhood
DOI: https://doi.org/10.5281/zenodo.7463776
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22DEC446.pdf
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